2016
DOI: 10.3310/hsdr04030
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How can frontline expertise and new models of care best contribute to safely reducing avoidable acute admissions? A mixed-methods study of four acute hospitals

Abstract: BackgroundHospital emergency admissions have risen annually, exacerbating pressures on emergency departments (EDs) and acute medical units. These pressures have an adverse impact on patient experience and potentially lead to suboptimal clinical decision-making. In response, a variety of innovations have been developed, but whether or not these reduce inappropriate admissions or improve patient and clinician experience is largely unknown.AimsTo investigate the interplay of service factors influencing decision-m… Show more

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Cited by 14 publications
(29 citation statements)
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“…By comparison, another multivariate model could predict only 6.8% variation in 4-hour target (using patient demographics and satisfaction with general practitioner (GP) service rates). 22 There are a number of factors that may affect ED processes and performance measures: macrohospital or intrahospital flow (ie, patient flows across the whole trust, such as those investigated in this study); microflow factors within departments/wards (ie, staffing, 4 17 work flows, 26 31 access to diagnostics 17 ); population factors (ie, age, sex, deprivation, 22 32 access to GP/community/social care services 22 33 ); noise (ie, recording errors, reporting differences, 10 ‘gaming’ of 4-hour target 5 17 ). If the mechanisms of pressures facing acute trusts are to be understood more fully, future work is required to quantify the relative effects of each of these factors on trust performance measures.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…By comparison, another multivariate model could predict only 6.8% variation in 4-hour target (using patient demographics and satisfaction with general practitioner (GP) service rates). 22 There are a number of factors that may affect ED processes and performance measures: macrohospital or intrahospital flow (ie, patient flows across the whole trust, such as those investigated in this study); microflow factors within departments/wards (ie, staffing, 4 17 work flows, 26 31 access to diagnostics 17 ); population factors (ie, age, sex, deprivation, 22 32 access to GP/community/social care services 22 33 ); noise (ie, recording errors, reporting differences, 10 ‘gaming’ of 4-hour target 5 17 ). If the mechanisms of pressures facing acute trusts are to be understood more fully, future work is required to quantify the relative effects of each of these factors on trust performance measures.…”
Section: Discussionmentioning
confidence: 99%
“… 36 Our results show that ED conversion ratio was important in explaining some variation in 4-hour performance and cancelled elective operations; however, conversion ratios of trusts in England have not changed noticeably between 2012 and 2016 (see table 2 ) while some trusts are already known to have introduced clinical streaming. 17 It is currently unclear if there would be significant changes to trust conversion ratios with the proposed roll-out of clinical streaming 6 by NHS England. More research is needed to understand if clinical streaming impacts on patient flow in a positive manner.…”
Section: Discussionmentioning
confidence: 99%
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“…Following the principles of this framework (see Seinet al, 2011) we captured the actions that disrupted users' processes or understanding (McCurby, Dykes, & Meyer, 2016). The authors began to discuss public perception and the role of the media while researching NHS provision and avoidable admissions into Accident and Emergency (Pinkney et al, 2016), forming the first stage of ADR, 'problem formulation, grounding design in theory and real-world problems'. These discussions led to the research aim to explore the role of mainstream media and the use of social media in medical settings; such as the increasing coverage of the U.K. junior doctors' contract debate on Twitter.…”
Section: Methodsmentioning
confidence: 99%